Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…Artificial intelligence (AI) has evolved into a powerful tool that has wide-spread application in computer vision such as computer-aided inspection, industrial control systems, and navigation of robots. …”
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A review of the role of nature-based solutions in mitigating food insecurity in Africa by Solomon Asamoah, Henry Mensah, Eric Kwame Simpeh, Eric Oduro-Ofori, Sandra Serwaa Boateng, Sarah Boateng, Listowel Koda Frimpong, Priscilla Okyere

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“Diversity’s good unless you have a Southern accent, then you’re a hick”: Self-evaluation, linguistic insecurity and symbolic domination in Middle Tennessee by Marc-Philippe Brunet

“…Southern speakers typically display a high degree of linguistic insecurity regarding their speech, by virtue of the symbolic domination of the linguistic standard in the USA.The present paper explores how SAE speakers respond to the sentiment of linguistic insecurity in a specific linguistic and social community by analyzing a cohort of respondents’ production of the diphthong /aɪ/, as this linguistic variable of SAE is often regarded as a hallmark feature of Southern phonology (Feagin, 2000; Thomas, 2003). …”
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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

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Managing natural disasters: An analysis of technological advancements, opportunities, and challenges by Moez Krichen, Mohamed S. Abdalzaher, Mohamed Elwekeil, Mostafa M. Fouda

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Biogas Production Optimization in the Anaerobic Codigestion Process: A Critical Review on Process Parameters Modeling and Simulation Tools by Mohammed Kelif Ibro, Venkata Ramayya Ancha, Dejene Beyene Lemma

“…The reviewed kinetic and AI models show strong correlation values ranging from 0.931 to 0.9991 and 0.8700 to 0.9998, respectively. …”
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The potential of green roof strategies for reducing CO2 emissions and energy use in Moroccan office buildings by Abdessamad Idouanaou, Mustapha Malha, Abdellah Bah, Saïd Kardellass

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Effects of Extract from Cole Pollen on Lipid Metabolism in Experimental Hyperlipidemic Rats by Yue Geng, Wen-li Tu, Jing-jing Zhang, Liang Zhang, Jian Zhang

“…A higher concentration of HDL-C and apoAI in hepatic tissue was measured after intake of the pollen extract compared to the HFC group (P<0.05). …”
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Cloud and IoT based smart agent-driven simulation of human gait for detecting muscles disorder by Sina Saadati, Abdolah Sepahvand, Mohammadreza Razzazi

“…Existing analysis applications, designed for other purposes, often lack essential software engineering features such as a user-friendly interface, infrastructure independence, usability and learning ability, cloud computing capabilities, and AI-based assistance. This research proposes a computer-based methodology to analyze human motion and differentiate between healthy and unhealthy muscles. …”
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Constructing immersive toy trial experience in mobile augmented reality by Lingxin Yu, Jiacheng Zhang, Xinyue Wang, Siru Chen, Xuehao Qin, Zhifei Ding, Jiahao Han

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Review on operation control of cold thermal energy storage in cooling systems by Huan Wang, Baoshan Xie, Chuanchang Li

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An integrated toolbox for creating neuromorphic edge applications by Lars Niedermeier, Nikil Dutt, Jeffrey L Krichmar

“…spiking neural networks (SNNs) and neuromorphic models are believed to be more efficient in general and have more biological realism than the activation functions typically used in deep neural networks, transformer models and generative AI. SNNs have local learning rules, are able to learn on small data sets, and can adapt through neuromodulation. …”
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One size fits all: Enhanced zero-shot text classification for patient listening on social media by Veton Matoshi, Maria Carmela De Vuono, Roberto Gaspari, Mark Kröll, Michael Jantscher, Sara Lucia Nicolardi, Giuseppe Mazzola, Manuela Rauch, Vedran Sabol, Eileen Salhofer, Riccardo Mariani

“…Recent advancements in Artificial Intelligence (AI), especially in Natural Language Processing (NLP), have enabled the analysis of vast social media datasets, also called Social Media Listening (SML), providing insights not only into patient perspectives but also into those of other interest groups such as caregivers. …”
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Histological demonstration of gonad development in the banana shrimp, Fenneropenaeus merguiensis by Jirakanit Chimnual, Jirawat Saetan, Wilaiwan Chotigeat

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Relationship Between Lumbar Locked Rotation, Trunk Rotation During Pitching, and Pitch Velocity in High School Baseball Players by Shun Okamura, Kai Iida

“…Hip-shoulder separation and thoracic rotation angle during SFC were measured using a pitching motion analysis application: Pitch AI. In addition, a tracking device specifically designed for pitching：Pitching2.0 was employed to measure ball velocity. …”
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Hydrophobicity and performance analysis of beverage and agricultural waste torrefaction for high-grade bio-circular solid fuel by Napat Kaewtrakulchai, Sutthipoj Wongrerkdee, Benjapon Chalermsinsuwan, Namfon Samsalee, Chao-Wei Huang, Kanit Manatura

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Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT by Rashmi Bhardwaj, Aashima Bangia

“…Two sample situates have been identified wherever highly reported pollutants levels were found and have been analyzed through artificial intelligence (AI) techniques. It can be observed that wavelet denoised signals fed into the least squares support vector regression (LSSVR) and M5 prime regression tree (M5pRT) predicted more accurately on the basis of the performance errors that are as follows: (a) root mean squared error (RMSE); (b) mean squared error (MSE); (c) mean absolute error (MAE). …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Recent advances in the structure and immunomodulatory activity of food-derived glycoprotein complex by Yu Zhong, Jiangxiong Zhu, Bifen Zhu, Hao Yin, Danfeng Wang, Yun Deng, Minyan Zhang, Chunrong Zhang

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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

“…The model was trained and evaluated using four benchmarks, including the Laboro Tomato, Tomato Plantfactory, Sai Gon University, and CubeAI datasets. It achieved the best performance at 89.8% of mAP@0.5 and 65.2% of mAP@0.5:0.95 on the Tomato Plantfactory dataset. …”
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